DocumentCode
478173
Title
Deformable Image Registration Based on Gabor Wavelet and SVM
Author
Anna, Wang ; Bo, Pan ; Jidong, Ma ; Dan, Li
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
145
Lastpage
149
Abstract
This paper presents a novel deformable registration method based on Gabor Wavelet and SVM. The method introduces Gabor Wavelet and SVM theory to match brain images. Firstly, the coefficients of wavelet are extracted and optimal search radiuses are reached. With the guidance of the SVM, the deformable registration overcomes the shortages of rigid registration, owning the generalization and presenting an excellent robustness.
Keywords
brain; generalisation (artificial intelligence); image matching; image registration; medical image processing; support vector machines; wavelet transforms; Gabor wavelet; SVM; brain images; deformable image registration; generalization; optimal search radiuses; rigid registration; Brain; Clouds; Data mining; Educational institutions; Image registration; Information science; Kernel; Robustness; Support vector machine classification; Support vector machines; Deformable Registration; Gabor Wavelet; SVM; feature extraction; multi-level registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.642
Filename
4667119
Link To Document